samsung SM-S931B
Geekbench AI Score
2562
Single Precision Score
2550
Half Precision Score
4072
Quantized Score
Geekbench AI 1.2.0 for Android AArch64
Result Information
| Upload Date | June 18 2025 06:07 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | Qualcomm ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | samsung SM-S931B |
| Model ID | samsung SM-S931B |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.47 GHz |
| Memory Information | |
|---|---|
| Size | 10.86 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1809
336.3 IPS |
|
|
Image Classification (HP)
|
100% |
1926
358.2 IPS |
|
|
Image Classification (Q)
|
100% |
4308
801.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
2339
37.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2333
37.8 IPS |
|
|
Image Segmentation (Q)
|
98% |
4955
80.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
5067
5.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
5065
5.91 IPS |
|
|
Pose Estimation (Q)
|
84% |
7174
8.51 IPS |
|
|
Object Detection (SP)
|
98% |
1540
122.5 IPS |
|
|
Object Detection (HP)
|
98% |
1567
124.7 IPS |
|
|
Object Detection (Q)
|
83% |
3752
303.1 IPS |
|
|
Face Detection (SP)
|
100% |
4308
51.2 IPS |
|
|
Face Detection (HP)
|
100% |
4380
52.0 IPS |
|
|
Face Detection (Q)
|
95% |
8207
98.0 IPS |
|
|
Depth Estimation (SP)
|
99% |
4227
32.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
4241
32.8 IPS |
|
|
Depth Estimation (Q)
|
64% |
8904
81.6 IPS |
|
|
Style Transfer (SP)
|
89% |
9824
12.8 IPS |
|
|
Style Transfer (HP)
|
89% |
9289
12.1 IPS |
|
|
Style Transfer (Q)
|
98% |
19995
25.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1783
65.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1943
71.8 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
5796
214.8 IPS |
|
|
Text Classification (SP)
|
100% |
879
1.17 KIPS |
|
|
Text Classification (HP)
|
99% |
746
995.8 IPS |
|
|
Text Classification (Q)
|
88% |
568
766.6 IPS |
|
|
Machine Translation (SP)
|
100% |
1320
22.7 IPS |
|
|
Machine Translation (HP)
|
100% |
1304
22.5 IPS |
|
|
Machine Translation (Q)
|
50% |
454
16.1 IPS |
